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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Informatics and Communication Technology (IJ-ICT) TELKOMNIKA (Telecommunication Computing Electronics and Control) JOIN (Jurnal Online Informatika) Applied Information System and Management IJID (International Journal on Informatics for Development) Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika International Journal of Advances in Data and Information Systems JOINT (Journal of Information Technology Journal of Applied Data Sciences Jurnal Ekonomi Jurnal Info Sains : Informatika dan Sains Populer: Jurnal Penelitian Mahasiswa Jurnal Teknik Mesin, Industri, Elektro dan Informatika Journal of Artificial Intelligence and Digital Business Indonesian Journal of Education And Computer Science Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen Jurnal Intelek Insan Cendikia Router : Jurnal Teknik Informatika dan Terapan Modem : Jurnal Informatika dan Sains Teknologi Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi JIMT: Jurnal Informatika, Multimedia dan Teknik Router : Jurnal Teknik Informatika dan Terapan
Dwi Yuniarto
Informatika, Fakultas Teknologi Informasi, Universitas Sebelas April, Sumedang, Indonesia
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Critical Success Factors for IT Risk Management in the Digital Transformation Era: Insights from a Multiple Case Study Dwi Yuniarto; Aedah Binti Abd. Rahman
Applied Information System and Management (AISM) Vol. 8 No. 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.41090

Abstract

The convergence of Information Technology risk management and digital transformation is a vital consideration for contemporary organizations navigating the rapidly changing digital landscape. This research investigates the intersection of these domains, aiming to identify the critical success factors that enable effective Information Technology risk management within the context of digital transformation. Through a Systematic Literature Review, a comprehensive search on Web of Science and Scopus led to the acceptance of 61 peer-reviewed papers published between 2020 and 2024, providing a solid foundation for understanding current trends and best practices. Employing a qualitative multiple case study approach, this study examines the experiences, strategies, and challenges of organizations that have successfully managed Information Technology risks during their digital transformation journeys. Thematic analysis reveals three key critical success factors: executive leadership and support, cross-functional collaboration, and risk-aware decision-making. These findings offer actionable insights for organizations seeking to align their risk management practices with the complexities of digital transformation. By bridging theoretical frameworks with practical insights, this research provides valuable recommendations for organizations to navigate digital transformation securely. Future research could focus on exploring the implementation nuances of these success factors across various industries, such as healthcare, finance, and manufacturing, to deepen our understanding of the intricate relationship between IT risk management and digital transformation in diverse contexts.
Tinjauan Penerapan Machine Learning pada Sistem Rekomendasi Menggunakan Model Klasifikasi Gefy Fitry Wijaya; Dwi Yuniarto
Populer: Jurnal Penelitian Mahasiswa Vol. 3 No. 4 (2024): Desember: Jurnal Penelitian Mahasiswa
Publisher : Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/populer.v3i4.2798

Abstract

Technological advancements have brought significant transformations across various fields, including the application of machine learning in recommendation and classification systems. Machine learning leverages data processing, utilizes algorithms, and efficiently identifies patterns to produce accurate recommendations and predictions. This study aims to review machine learning-based recommendation system approaches, analyze model performance, and compare the algorithms used. A literature review was conducted by examining journals published in the past five years, focusing on algorithm implementation. The findings indicate that the Naïve Bayes algorithm delivers the best performance, achieving an accuracy of up to 97%. This algorithm is particularly well-suited for processing small to medium-sized datasets with high efficiency. The research provides comprehensive insights into the performance and limitations of various algorithms, serving as a valuable guide for future developments in the field.
Evaluasi Keamanan Website dengan Menggunakan Metode NIST SP 800-115 Finka Mambo; Dwi Yuniarto; David Setiadi
Populer: Jurnal Penelitian Mahasiswa Vol. 3 No. 4 (2024): Desember: Jurnal Penelitian Mahasiswa
Publisher : Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/populer.v3i4.2805

Abstract

Perkembangan teknologi yang semakin meningkat seiring dengan berjalanya waktu dimana semua pengguna harus mempelajari teknologi yang semakin berkembang. Dengan perkembangan yang semakin meningkat maka ancaman dalam pengguna internet akan semakin meningkat akan serangan siber dengan mencuri data atau informasi peribadi melalui website. Maka perlu dilakukan pengujian kerentanan keamanan pada website untuk mengurangi ancaman dari serangan siber dengan memberikan solusi yang dapat digunakan sebagai alat pengukuran akan tingkatan bahaya untuk memperbaiki keamanan yang ada pada website. Tujuan penelitian mencari apa saja kerentanan yang ada pada website Fakultas Teknologi Informasi pada Universitas Sebelas April dan menganalisis dampak yang terjadi jika ancaman tersebut ada pada website dan memberikan solusi dengan metode yang digunakan NIST SP 800-115 yang terdiri dari 4 tahapan yaitu planning, discovery, attack, reporting. Berdasarkan hasil scanning yang dilakukan mendapatkan 11 kerentanan serta dari hasil pengujian belum ditemukan kerentanan sehingga masih dibilang aman karena belum mendapatkan kerentanan pada website tersebut. Penelitian ini memberi saran untuk melakukan pengujian ulang serta eksplorasi metode lain untuk menemukan kerentanan.
Analisis Manajemen Risiko Teknologi Informasi Menggunakan Framework Iso 31000 : Studi Kasus : Aplikasi Kehadiran Mobile (K-MOB) Rafli Ahmad Zulfikri; Dwi Yuniarto; David Setiadi
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 3 No. 3 (2025): Juli : SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v3i3.3127

Abstract

Th Advances in information technology have had a significant impact on various aspects of life, including organizational operations. The Mobile Attendance Application (K-Mob) is one implementation of information technology designed to simplify the process of recording attendance in real-time. However, this application is vulnerable to risks that can hamper operations, such as hacking, system failures, and data security issues. This study aims to identify, analyze, and evaluate risks that may affect K-Mob's performance using the ISO 31000 framework. The analysis process is carried out through communication with stakeholders, risk identification, and risk evaluation based on the frequency of occurrence and impact. The results show that significant risks faced include hardware damage, server disruptions, and data misuse. Risk management is carried out through mitigation strategies, such as system updates, infrastructure strengthening, and increasing human resource capacity. With this approach, risks can be minimized, ensuring the sustainability of K-Mob's operations, and improving system reliability. This study recommends regular risk evaluation and the development of adaptive strategies to address evolving threats. The implementation of ISO 31000 has been proven to provide effective guidance in information technology risk management.is.
Co-Authors Aang Subiyakto Aang Subiyakto A’ang Subiyakto Abd. Rahman Ahlan Abd. Rahman, Aedah Abd. Rohman, Aedah Binti Aedah Abd. Rahman Aedah Binti Abd. Rahman Aedah Binti Abd. Rahman Aedah Binti Abd. Rohman Asrul Sani Asrul Sani Azmi, Agus N A’ang Subiyakto Balogun, Naeem A Bernadus Gunawan Sudarsono Bernadus Gunawan Sudarsono David Setiadi David Setiadi Dede Wulan Rahayu Dody Herdiana Esa Firmansyah Esa Firmansyah Fachrul Kurniawan Finka Mambo Firmansyah, Esa Gefy Fitry Wijaya Gita Fitria Hadi Rahman Hartawan, Muhammad S Hasna Nazzala Khozinaturrohmah Huda, Muhammad Q Inne Natya Irma Rahayu Johan Ferdiyansyah Mandala, Wira Satria Muhammad Agreindra Helmiawan Muhammad Hilman Firmansyah Muhammad Q. Huda Muhammad R. Alghifari Muji, Muji Naeem Atanda Balogun Nashrul Hakiem Nashrul Hakiem Ni'amillah, Isnaeni Nuryasin Prastiawan, Kemal Hapidz Radhi Rabbani Rafli Ahmad Zulfikri Rahman, Aedah Binti Abd. Reny Rian Marliana Ririen Kusumawati Riska Rismaya Sani, Asrul Soffiah Ai Nurjanah Subiyakto, A'ang Suryatno, Agung Suseno, Hendra B Thosporn Sangsawang Viva Arifin Viva Arifin Yan Yan Sofiyan Yayan Cahyan Yopi Hidayatul Akbar